Planning and decision-making technology at intersections is a comprehensive research
problem in intelligent transportation systems due to the uncertainties caused by a variety of …

This study introduces a methodology for cooperative signal timing and trajectory
optimization at intersections with a mix of connected automated vehicles (CAVs) and human …

Connected autonomous vehicles (CAVs) have the potential to deal with the steady increase
in road traffic while solving transportation related issues such as traffic congestion, pollution …

This study presents a methodology for optimal control of connected automated vehicles
(CAVs) in freeway segments with a lane drop. Lane drops can create bottlenecks with a …

This study presents a vehicle-level distributed coordination strategy to control a mixed traffic
stream of connected automated vehicles (CAVs) and connected human-driven vehicles …

This paper studies the effects of different autonomous driving behaviors on an isolated
intersection's safety and mobility performance measures in a mixed-autonomy environment …

This paper aims to investigate the electric vehicle (EV) charging network design and
utilization management considering user-centric decisions. A hierarchical formulation is …

Current literature on joint optimization of intersection signal timing and connected automated
vehicle (CAV) trajectory mostly focuses on vehicular movements paying no or little attention …

This paper formulates a cooperative traffic control methodology that integrates traffic signal
timing and ramp metering decisions into an optimization model to improve traffic operations …

Electric vehicle (EV) charging patterns are highly uncertain in both location, time, and
duration particularly in association with the predicted high demand for electric mobility in the …